Analysis of a stochastic coronavirus (COVID-19) L´evy jump model with protective measures

Caraballo Garrido, Tomás; El Fatini,  Mohamed; El Khalifi, Mohamed; Rathinasamy, Anandaraman

doi:10.1080/07362994.2021.1989312

Artículo

dc.creator	Caraballo Garrido, Tomás	es
dc.creator	El Fatini, Mohamed	es
dc.creator	El Khalifi, Mohamed	es
dc.creator	Rathinasamy, Anandaraman	es
dc.date.accessioned	2023-02-24T11:57:11Z
dc.date.available	2023-02-24T11:57:11Z
dc.date.issued	2021-09-30
dc.identifier.citation	Caraballo Garrido, T., El Fatini, ., El Khalifi, M. y Rathinasamy, A. (2021). Analysis of a stochastic coronavirus (COVID-19) L´evy jump model with protective measures. Stochastic Analysis and Applications, 41 (1), 45-59. https://doi.org/10.1080/07362994.2021.1989312.
dc.identifier.issn	0736-2994	es
dc.identifier.issn	1532-9356	es
dc.identifier.uri	https://hdl.handle.net/11441/142974
dc.description.abstract	This paper studied a stochastic epidemic model of the spread of the novel coronavirus (COVID19). Severe factors impacting the disease transmission are presented by white noise and compensated poisson noise with possibly infinite characteristic measure. Large time estimates are established based on Kunita’s inequality rather than Burkholder-Davis-Gundy inequality for countinuous diffusions. The effect of stochasticity is taken into account in the formulation of sufficient conditions for the extinction of COVID-19 and its persistence. Our results prove that environmental fluctuations can be privileged in controlling the pandemic behaviour. Based on real parameter values, numerical results are presented to illustrate obtained results concerning the extinction and the persistence in mean of the disease.	es
dc.format	application/pdf	es
dc.format.extent	14 p.	es
dc.language.iso	eng	es
dc.publisher	Taylor & Francis	es
dc.relation.ispartof	Stochastic Analysis and Applications, 41 (1), 45-59.
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.subject	Stochastic differential equation	es
dc.subject	L´evy noise	es
dc.subject	COVID-19	es
dc.subject	extinction	es
dc.subject	persistence in mean	es
dc.subject	Kunita’s inequality	es
dc.title	Analysis of a stochastic coronavirus (COVID-19) L´evy jump model with protective measures	es
dc.type	info:eu-repo/semantics/article	es
dcterms.identifier	https://ror.org/03yxnpp24
dc.type.version	info:eu-repo/semantics/submittedVersion	es
dc.rights.accessRights	info:eu-repo/semantics/openAccess	es
dc.contributor.affiliation	Universidad de Sevilla. Departamento de Ecuaciones Diferenciales y Análisis Numérico	es
dc.relation.publisherversion	https://doi.org/10.1080/07362994.2021.1989312	es
dc.identifier.doi	10.1080/07362994.2021.1989312	es
dc.contributor.group	Universidad de Sevilla. FQM314: Análisis Estocástico de Sistemas Diferenciales	es
dc.journaltitle	Stochastic Analysis and Applications	es
dc.publication.volumen	41	es
dc.publication.issue	1	es
dc.publication.initialPage	45	es
dc.publication.endPage	59	es

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